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cmdscale in matlab  (MathWorks Inc)


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    MathWorks Inc cmdscale in matlab
    Cmdscale In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cmdscale+in+matlab/pm40421580-352-13-17
    Average 90 stars, based on 1 article reviews
    cmdscale in matlab - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Feeling fooled: Texture contaminates the neural code for tactile speed
    Article Snippet: We used triplets of afferents of each type, selected with replacement ( n rep = 24), to build three-element feature vectors, each obtained by summing the distance matrices (by taking the square root of the sum of squares) and then performing classical multidimensional scaling (cmdscale in Matlab) and retaining only the three first dimensions.

    Article Title: TRPM8 Protein Dynamics Correlates with Ligand Structure and Cellular Function.
    Article Snippet: Difference spectra were used to create a dissimilarity matrix as input for a classical MDS (cmdscale in Matlab) and computed using an Euclidean distance matrix.



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    Beta diversity using Aitchison distance of raw milk samples with six outlier samples removed is shown here in (a) hierarchical clustering and (b) multidimensional scaling.

    Journal: mSystems

    Article Title: Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production

    doi: 10.1128/msystems.00840-24

    Figure Lengend Snippet: Beta diversity using Aitchison distance of raw milk samples with six outlier samples removed is shown here in (a) hierarchical clustering and (b) multidimensional scaling.

    Article Snippet: Multidimensional scaling (MDS; Matlab function cmdscale, P = 2) and permutational multivariate analysis of variance (PERMANOVA, function f_permanova, iter = 10,000, from the Fathom toolbox [ ] for MATLAB) were applied on the pairwise Aitchison distances of all samples excluding the four baseline and two outside farm samples identified as low-diversity outliers on the supported microbial genera table.

    Techniques: